taoyunuo

Results 7 issues of taoyunuo

训练好的模型直接拿来测试,给数据后直接输出判断结果,如何得出 它分到这个类别得概率呢? 谢谢

my solver : base_lr: 0.01 lr_policy: "multistep" gamma: 0.1 stepvalue: 16000 stepvalue: 24000 stepvalue: 28000 max_iter: 28000 display: 100 momentum: 0.9 weight_decay: 0.0005 #snapshot: 1000 snapshot_prefix: "result/sphereface_model_old"

I can not understand how to set the max-iterations in the code, Please help me to understand,thanks

我训练的时候 一共7个 lable 每个lable在训练集的样本数量都是5000,可以训练好进行模型测试的时候,测试出来的标签都是同一个label(比如全是 手机)

src/caffe/layers/label_specific_add.cpp:28:7: error: converting to ‘const std::vector’ from initializer list would use explicit constructor ‘std::vector::vector(std::vector::size_type, const value_type&, const allocator_type&) [with _Tp = int; _Alloc = std::allocator; std::vector::size_type = long unsigned int;...

Please provide specific test methods,thanks!